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Aggregating Farrell efficiencies with private and public inputs

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  • Walheer, Barnabé

Abstract

Since the initial paper on aggregating Farrell efficiencies of entities into a group counterpart by Färe and Zelenyuk (2003), much attention has been given in the literature to the aggregation of efficiency and efficiency-related indexes and indicators for both static and dynamic settings. In this paper, we make a distinction between two types of inputs in the aggregation framework: private and public inputs. Private inputs are those used by each entity individually, while public inputs are used collectively. The obtained aggregation procedure, while remaining consistent with previous contributions, offers the advantage of considering more practical cases, and increases our understanding of aggregation techniques.

Suggested Citation

  • Walheer, Barnabé, 2019. "Aggregating Farrell efficiencies with private and public inputs," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1170-1177.
  • Handle: RePEc:eee:ejores:v:276:y:2019:i:3:p:1170-1177
    DOI: 10.1016/j.ejor.2019.01.071
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    Cited by:

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    3. Tsionas, Mike & Parmeter, Christopher F. & Zelenyuk, Valentin, 2023. "Bayesian Artificial Neural Networks for frontier efficiency analysis," Journal of Econometrics, Elsevier, vol. 236(2).
    4. Rolf Färe & Giannis Karagiannis, 2024. "The denominator rule with unit ratio difference," Journal of Productivity Analysis, Springer, vol. 61(2), pages 183-190, April.

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